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from a manipulation experiment. The time, location and bird species were recorded using a Passive Integrated Transponder (PIT) tag attached to each bird and the information recorded using a Radio Frequency Identification (RFID) antenna within the feeder. Population density was manipulated by programming automated feeders to only open for a specific set of individuals (creating low- and high-density treatments). Local population densities were recorded using automated bird feeders at six experimental and two control sites prior to and during the manipulation. The experiment took place in Wytham Woods, Oxfordshire, UK between January and March 2021, as part of a study on the effects of ecological factors on social structure and information transmission. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1, The ecology of behavioural contagion in natural systems.)","documentType":"GEMINI_DOCUMENT","familyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"fullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"funder":["Natural Environment Research Council"],"givenName":["K.B.","J.A.","K.","S.","E.F.","B."],"grant":["NE/S010335/1"],"identifier":"1a4dcbb3-c4fb-4bd4-acb3-d03932de9323","incomingCitationCount":0,"keyword":["Animal behaviour","ornithology","population density"],"keywordsOther":["ornithology","population density"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Automated bird feeders were used to collect the described data. Each of the feeders had one access hole with a clear flap and an inbuilt Radio Frequency Identification (RFID) antenna within the perch. All birds equipped with a Passive Integrated Transponder (PIT) tag that landed on the perch got recorded, and the time and date of visits stored on a Secure Digital (SD) card. The flap can be programmed to open only for specified PIT tagged individuals. This allowed us to manipulate local densities by specifically restricting access to each feeder. Feeders were visited every two to three days, to refill food, check feeder performance and collect data. For the final dataset, erroneous recordings (e.g. entries with a wrong date or tag number) were removed. Data are provided as comma separated value files for deposit into the EIDC.   ","locations":["POLYGON((-1.349 51.759, -1.349 51.785, -1.317 51.785, -1.317 51.759, -1.349 51.759))"],"metadataDate":"2026-07-24T19:15:04.000Z","orcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323","10.5285/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323","doi:10.5285/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about local population densities of great tits, blue tits, marsh tits and nuthatches from a manipulation experiment. The time, location and bird species were recorded using a Passive Integrated Transponder (PIT) tag attached to each…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Local population density of woodland birds from a manipulation experiment in Wytham Woods, Oxfordshire, UK 2021","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Loughborough University","International Centre for Diarrhoeal Disease Research"],"authorFamilyName":["Rousham","Islam","Masud","Unicomb","Alam","Asaduzzaman","Rahman"],"authorFullName":["Rousham, E.K.","Islam, M.A.","Masud, A.","Unicomb, L.","Alam, M.U.","Asaduzzaman, M.","Rahman, M.M."],"authorGivenName":["E.K.","M.A.","A-A.","L.","M.U.","M. ","M.M."],"authorOrcid":["0000-0001-5654-9279"],"authorRor":["https://ror.org/04vg4w365","https://ror.org/04vsvr128"],"availability":"Available","catalogue":"eidc","dataFormat":["Portable Document Format (PDF)"],"description":"The dataset provides qualitative data from anonymised in-depth interviews conducted in 2017 with domestic poultry owners, commercial poultry farm workers and market sellers of live poultry in Bangladesh. The dataset comprises interview transcripts in Bangla. Household and farm interviews were carried out in rural areas of Mirzapur sub-district, Tangail. Interviews with market sellers of poultry were carried out in Dhaka city. An interview guide was used to explore themes and topics relating to poultry-raising practices, hygiene and waste disposal practices relating to poultry and use of antibiotics in poultry. The objective was to understand human behaviours and practices that may contribute to environmental contamination with antibiotic-resistant bacteria from poultry and potential pathways of transmission of antibiotic-resistant bacteria from poultry to humans. \n\nThe research was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance (AMR) Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative, award NE/N019555/1. ","documentType":"GEMINI_DOCUMENT","familyName":["Rousham","Islam","Masud","Unicomb","Alam","Asaduzzaman","Rahman"],"fullName":["Rousham, E.K.","Islam, M.A.","Masud, A.","Unicomb, L.","Alam, M.U.","Asaduzzaman, M.","Rahman, M.M."],"funder":["Natural Environment Research Council"],"givenName":["E.K.","M.A.","A-A.","L.","M.U.","M. ","M.M."],"grant":["NE/N019555/1"],"identifier":"630759ac-b0ca-4561-8eec-414b47e14829","incomingCitationCount":1,"keyword":["Bangladesh","Dhaka","Mirzapur sub-district","Tangail","In-depth interview","qualitative","antimicrobial resistance","disease transmission","poultry","livestock","waste","hygiene","disease","resistance (biological)"],"keywordsOther":["In-depth interview","qualitative","antimicrobial resistance","disease transmission","poultry","livestock","waste","hygiene","disease","resistance (biological)"],"keywordsPlace":["Bangladesh","Dhaka","Mirzapur sub-district","Tangail"],"licence":"Open government licence","lineage":"Interviews were audio-recorded, downloaded as mp3 files and transcribed and anonymised from the audio-recording to a word file in Bangla. The transcripts were converted from word files to .pdf to preserve the Bengali script","locations":["POLYGON((89.819 23.282, 89.819 24.847, 91.082 24.847, 91.082 23.282, 89.819 23.282))"],"metadataDate":"2026-07-25T06:43:53.000Z","orcid":["0000-0001-5654-9279"],"organisation":["Loughborough University","International Centre for Diarrhoeal Disease Research","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-10-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/630759ac-b0ca-4561-8eec-414b47e14829","10.5285/630759ac-b0ca-4561-8eec-414b47e14829","doi:10.5285/630759ac-b0ca-4561-8eec-414b47e14829"],"resourceType":"Dataset","ror":["https://ror.org/04vg4w365","https://ror.org/04vsvr128","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides qualitative data from anonymised in-depth interviews conducted in 2017 with domestic poultry owners, commercial poultry farm workers and market sellers of live poultry in Bangladesh. The dataset comprises interview transcripts in Bangla. Household…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"Interview transcripts in Bangla with poultry owners and poultry workers, Dhaka and rural Tangail district, Bangladesh (2017)","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","Agricultural Research Service  (USDA‐ARS)","University of York","Research Center for Eco‐Environmental Sciences","The University of Tokyo","Banaras Hindu University"],"authorFamilyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"authorFullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"authorGivenName":["K.","G.","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M."],"authorOrcid":["0000-0003-3265-1505","0000-0001-9870-2868","0000-0001-9538-3208","0000-0002-6975-5984","0000-0002-2474-6558","0000-0003-3463-0054","0000-0001-5370-4894"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/04m01e293","https://ror.org/03rpsvy57","https://ror.org/057zh3y96","https://ror.org/04cdn2797"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Modelled annual average production loss (thousand tonnes per 1 degree by 1 degree grid cell) due to ground-level ozone pollution is presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum), for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for production loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop production losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is a step towards mitigation of the problem. \n\nThe production loss calculations were done as part of the NERC funded SUNRISE project (NEC06476) and National Capability Project NC-Air quality impacts on food security, ecosystems and health (NEC05574).","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"fullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"funder":["Natural Environment Research Council"],"givenName":["K.","G.","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M.","Katrina"],"grant":["NE/R000131/1"],"identifier":"0aa7911a-ab5f-4b08-a225-28b1e8344d01","incomingCitationCount":1,"keyword":["Pollution","Agriculture","rice","ozone","Production loss","Maize","Air pollution impact","Oryza sativa","Glycine max","Triticum aestivum","Zea mays","wheat","soybean"],"keywordsOther":["rice","ozone","Production loss","Maize","Air pollution impact","Oryza sativa","Glycine max","Triticum aestivum","Zea mays","wheat","soybean"],"keywordsTheme":["Pollution","Agriculture"],"licence":"Open government licence","lineage":"A 1 degree by 1degree grid was created using ArcMap. Crop production data (0.0833 degree resolution) from the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) dataset (for the year 2000) was downloaded. Irrigated and non-irrigated production data was collected for each crop type. For each crop, total production was summed per 1° by 1° grid cell. Then average production for the period 2010-2012 for each grid cell was estimated using a conversion factor from FAO national crop production data, based on the difference between average production for the period 1999-2001 and 2010-2012. For each crop, only grid cells with greater than 500 tonnes crop production were included when mapping yield loss.\n\nEach grid cell was classed as either irrigated (greater than 7% irrigated crop production) or non-irrigated. Grid cells were also assigned to a hemisphere (Northern or Southern) and a climate zone. For each hemisphere/climate zone combination, a 90-day growing period was set, based on the main growing season per year for each crop.\n\nThe EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16) was used to calculate daily ozone flux (POD3IAM; phytotoxic ozone dose above 3 nmol m−2 s−1, parameterized for integrated assessment modelling) for the years 2010 - 2012. For each crop, the accumulated 90-day POD3IAM was calculated per grid cell based on the climate specific growing period and the irrigation class for the cell, and an average value calculated for the period 2010-2012.\n\nYield loss was calculated using the ozone dose-response relationship for wheat, following the most recent methodology adopted by the Convention for Long-Range Transboundary Air Pollution (CLRTAP) in 2017. First a reference value of POD3IAM = 0.1mmol/m2 (used to represent ozone uptake at pre-industrial or natural ozone levels) was subtracted before yield loss was calculated. This value was the mean POD3IAM for the experimental conditions included in the dose-response relationship, assuming constant 10 ppb ozone throughout the 90-day period.\n\nThe equation used to calculate percentage yield loss was as follows:    Percentage Yield Loss = (POD3IAM – 0.1) * 0.64                                                                         \nwhere 0.64 is the slope of the relationship between POD3IAM and percentage yield reduction and represents the percentage reduction per mmol/m2 POD3IAM.\n\nFor maize, rice and soybean, the POD3IAM values per grid cell were first used to calculate percentage yield loss using the equation for wheat. Then the relative ozone sensitivity of each crop compared to wheat was calculated by dividing the slope of the M7 (7-hour mean ozone concentration) response function for the crop by that for wheat. For each grid cell, the percentage yield loss for wheat was multiplied by the relative ozone sensitivity value, to calculate the final estimated percentage yield loss for each crop. \n\nProduction loss for each crop was then calculated per grid square using total crop production per grid cell (averaged for 2010-2012) and the estimated yield loss per grid cell, with the following equation:\nProduction loss (thousand tonnes) = Crop production (thousand tonnes) * (percent yield loss/100)\n\nProduction loss values were added to the 1° by 1° grid and saved as GIS shapefiles, with one file per crop. \n\nAn evaluation of EMEP model performance found a strong correlation between modelled and measured ozone data from Global Atmosphere Watch (GAW) sites. The EMEP model was found to capture spatial and temporal variations in ozone across regions.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-09-15T09:55:19.000Z","orcid":["0000-0003-3265-1505","0000-0001-9870-2868","0000-0001-9538-3208","0000-0002-6975-5984","0000-0002-2474-6558","0000-0003-3463-0054","0000-0001-5370-4894"],"organisation":["UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","Agricultural Research Service  (USDA‐ARS)","University of York","Research Center for Eco‐Environmental Sciences","The University of Tokyo","Banaras Hindu University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0aa7911a-ab5f-4b08-a225-28b1e8344d01","10.5285/0aa7911a-ab5f-4b08-a225-28b1e8344d01","doi:10.5285/0aa7911a-ab5f-4b08-a225-28b1e8344d01"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/04m01e293","https://ror.org/03rpsvy57","https://ror.org/057zh3y96","https://ror.org/04cdn2797","https://ror.org/04xw4m193"],"shortenedDescription":"Modelled annual average production loss (thousand tonnes per 1 degree by 1 degree grid cell) due to ground-level ozone pollution is presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum), for the period 2010-2012.…","state":"published","supplementalDescription":["Mills, G., Sharps, K., Simpson, D., Pleijel, H., Broberg, M., Uddling, J., … Van Dingenen, R. (2018). Ozone pollution will compromise efforts to increase global wheat production. Global Change Biology, 24(8), 3560–3574.","Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., & Wind, P. (2012). The EMEP MSC-W chemical transport model – technical description. Atmospheric Chemistry and Physics, 12(16), 7825–7865."],"supplementalName":["Report","SUNRISE website"],"temporalExtentText":"Data collected from 2010 to 2012","title":"Modelled annual average production loss due to ozone damage for four global staple crops 2010-2012","topic":["0/Pollution/","0/Agriculture/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Betty and Gordon Moore Center for Science, Conservation International"],"authorFamilyName":["Cano"],"authorFullName":["Cano, C.A."],"authorGivenName":["C.A."],"authorRor":["https://ror.org/024weye46"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Google Earth (kml)","Geography Markup Language (gml)","MapInfo .TAB"],"description":"The dataset delineates annual forest loss in the CAZ digitized from annual 15 metre resolution LANDSAT imagery. This dataset creates a baseline for possible long-term, near real-time monitoring of encroachment and illegal logging within the Ankeniheny-Zahamena Corridor (CAZ), Madagascar. This analysis includes a summary of suspected encroachment and illegal logging from June 2006 to December 2010 within the \"protected area,\" which consists of zones such as priority for conservation, sustainable use, and controlled settlements. ","documentType":"GEMINI_DOCUMENT","familyName":["Cano","Tabor"],"fullName":["Cano, C.A.","Tabor, K."],"givenName":["C.A.","K."],"identifier":"c63c543f-3e95-4c1c-8c69-12f942271813","incomingCitationCount":1,"keyword":["Madagascar","Corridor Ankeniheny Zahamena","forest clearing","protected area","forest"],"keywordsOther":["forest clearing","protected area","forest"],"keywordsPlace":["Madagascar","Corridor Ankeniheny Zahamena"],"licence":"Open government licence","lineage":"Landsat 7 SLC-off imagery at a resolution of 15 m was compared to Landsat 2005 imagery and the Change in Natural Forest Cover from 1990 to 2005 developed by the United States Agency for International Development (USAID), Conservation International and the Madagascar Ministry of Environment, Water, Forests and Tourism. The imagery was acquired from the U.S. Geological Survey (USGS) Global Visualization Viewer (Glovis), available at http://glovis.usgs.gov/.\n\nENVI 4.7 was used for processing and gap filling of the imagery. Visual interpretation based on shape, color, proximity to features and texture was used to digitize suspected forest encroachment using ArcGIS 9.3.1.\n\nThe data have not been validated; therefore some of the clearings are likely due to natural disturbances such as landslides, flooding, natural fires or tree falls.","locations":["POLYGON((48.202 -18.989, 48.202 -17.434, 49.152 -17.434, 49.152 -18.989, 48.202 -18.989))"],"metadataDate":"2026-09-15T08:36:56.000Z","organisation":["Betty and Gordon Moore Center for Science, Conservation International","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c63c543f-3e95-4c1c-8c69-12f942271813","10.5285/c63c543f-3e95-4c1c-8c69-12f942271813","doi:10.5285/c63c543f-3e95-4c1c-8c69-12f942271813"],"resourceType":"Dataset","ror":["https://ror.org/024weye46","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset delineates annual forest loss in the CAZ digitized from annual 15 metre resolution LANDSAT imagery. This dataset creates a baseline for possible long-term, near real-time monitoring of encroachment and illegal logging within the Ankeniheny-Zahamena Corridor…","state":"published","temporalExtentText":"Data collected from 2006 to 2014","title":"Annual Forest Loss at 15m resolution in the Corridor Ankeniheny-Zahamena (CAZ), Madagascar, 2006-2014","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["University of Exeter","University of Sheffield","University of Edinburgh","University of Sussex"],"authorFamilyName":["Estop-Aragones","Fisher","Cooper","Thierry","Treharne","Murton","Phoenix","Charman","Williams","Hartley"],"authorFullName":["Estop-Aragones, C.","Fisher, J.P.","Cooper, M.A.","Thierry, A.","Treharne, R.","Murton, J.B.","Phoenix, G.K.","Charman, D.J.","Williams, M.","Hartley, I.P."],"authorGivenName":["C.","J.P.","M.A.","A.","R.","J.B.","G.K.","D.J.","Mathew","I.P."],"authorOrcid":["0000-0001-6117-5208"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/01nrxwf90","https://ror.org/00ayhx656"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of soils dated using lead-210 (210Pb) in profiles from permafrost in subarctic Canada. Soil cores were sampled during early summer in 2013 and 2014 from peatland plateaus, thawing peatland plateaus, burnt and unburnt black spruce forests in Yukon and Northwest Territories. The upper part of the soil profile was dated using 210Pb to quantify recent carbon accumulation rates.","documentType":"GEMINI_DOCUMENT","familyName":["Estop-Aragones","Fisher","Cooper","Thierry","Treharne","Murton","Phoenix","Charman","Williams","Hartley"],"fullName":["Estop-Aragones, C.","Fisher, J.P.","Cooper, M.A.","Thierry, A.","Treharne, R.","Murton, J.B.","Phoenix, G.K.","Charman, D.J.","Williams, M.","Hartley, I.P."],"givenName":["C.","J.P.","M.A.","A.","R.","J.B.","G.K.","D.J.","Mathew","I.P."],"identifier":"3b22fba5-8429-4fdc-849c-b4c248ea744d","incomingCitationCount":0,"keyword":["Canada","Lead dating","Peatland plateu","Thawing peatland","Permafrost","lead-210","210Pb","fire","lead","peat"],"keywordsOther":["Lead dating","Peatland plateu","Thawing peatland","Permafrost","lead-210","210Pb","fire","lead","peat"],"keywordsPlace":["Canada"],"licence":"Open government licence","lineage":"Lead-210 (210Pb) dating was used to date the upper part of the soil profile which was cut at intervals of 1 cm resolution. Samples were freeze dried and ground and the 210Pb activity was determined by alpha spectrometry following chemical extraction. Constant rate of supply models were used to assign ages in years to the soil. This data can be used to quantify recent carbon accumulation rates (refer to dataset of bulk density, carbon and nitrogen content).","locations":["POLYGON((-137 60, -137 64, -112 64, -112 60, -137 60))"],"metadataDate":"2026-09-15T08:43:07.000Z","orcid":["0000-0001-6117-5208"],"organisation":["University of Exeter","University of Sheffield","University of Edinburgh","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3b22fba5-8429-4fdc-849c-b4c248ea744d","10.5285/3b22fba5-8429-4fdc-849c-b4c248ea744d","doi:10.5285/3b22fba5-8429-4fdc-849c-b4c248ea744d"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/01nrxwf90","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of soils dated using lead-210 (210Pb) in profiles from permafrost in subarctic Canada. Soil cores were sampled during early summer in 2013 and 2014 from peatland plateaus, thawing peatland plateaus, burnt and unburnt black spruce forests in Yukon…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Soil dates using 210Pb in profiles from permafrost in subarctic Canada","version":1.0,"view":["public","kath"]},{"authorAffiliation":["University of Warwick","University of Liverpool"],"authorFamilyName":["Trinder","Askew","Whitlock"],"authorFullName":["Trinder, S.","Askew, A.P.","Whitlock, R."],"authorGivenName":["S.","A. P.","R. "],"authorOrcid":["0000-0002-0767-9912","0000-0003-0899-1470","0000-0002-7067-8365"],"authorRor":["https://ror.org/01a77tt86","https://ror.org/04xs57h96"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset  provides measurement of timing of germination and seed mass in the F1 progeny, the P1 paternal contribution to F1 offspring (paternal reproductive success), and assesses the effects of flowering time on the mating system for Festuca ovina (F. ovina) after seventeen years of in-situ experimental drought treatment. \n\nThe study was conducted at the Buxton Climate Change Impacts Laboratory (BCCIL) and began in July 2010.","documentType":"GEMINI_DOCUMENT","familyName":["Trinder","Askew","Whitlock"],"fullName":["Trinder, S.","Askew, A.P.","Whitlock, R."],"givenName":["S.","A. P.","R. ","Raj"],"identifier":"65c14df6-b762-441c-8d8d-9112f7350f03","incomingCitationCount":0,"keyword":["Sheep's fescue","Festuca ovina"],"keywordsOther":["Sheep's fescue","Festuca ovina"],"licence":"Open government licence","lineage":"In July 2010, thirty individuals of F. ovina were collected from the drought and control plots at BCCIL,  using a spatially stratified, randomised sampling design, from each of these climate environments (drought and control; six individuals per plot, per environment). Physically connected bunches of 4–8 tillers were recovered from each sampled plant and potted in cell trays in John Innes No. 1 compost. These clonal lines were subsequently allowed to establish in 3 L pots containing a 3:1 mix of John Innes No. 1 potting compost and medium grade Perlite at Ness Botanic Gardens, University of Liverpool, UK. They were maintained by biomass clipping 25 mm above the soil surface in September to mimic grazing and to promote clonal growth, and by seed head removal during July 2011, to prevent self-seeding. The clonal lines received natural rainfall, supplemented with a pumped ground-water supply in dry periods. Hereafter, these 59 field-collected clonal lines (one individual died following collection) are referred to as the parental or P1 plants.\n\nFor further details of method and sampling regime. please see the supporting documentation.","locations":["POLYGON((-1.957 53.223, -1.957 53.283, -1.851 53.283, -1.851 53.223, -1.957 53.223))"],"metadataDate":"2026-07-25T06:45:17.000Z","orcid":["0000-0002-0767-9912","0000-0003-0899-1470","0000-0002-7067-8365"],"organisation":["University of Warwick","University of Liverpool","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-04-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/65c14df6-b762-441c-8d8d-9112f7350f03","10.5285/65c14df6-b762-441c-8d8d-9112f7350f03","doi:10.5285/65c14df6-b762-441c-8d8d-9112f7350f03"],"resourceType":"Dataset","ror":["https://ror.org/01a77tt86","https://ror.org/04xs57h96","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset  provides measurement of timing of germination and seed mass in the F1 progeny, the P1 paternal contribution to F1 offspring (paternal reproductive success), and assesses the effects of flowering time on the mating system for Festuca ovina (F. ovina) after…","state":"published","temporalExtentText":"Data collected from 2010 to 2012","title":"Reproductive and early-acting life-history traits in the perennial grass Festuca ovina exposed to drought conditions","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 25m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty.  A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"ab10ea4a-1788-4d25-a6df-f1aff829dfff","incomingCitationCount":1,"keyword":["Great Britain","Land cover","Biodiversity Action Plan","habitat","map","land cover"],"keywordsOther":["Biodiversity Action Plan","habitat","map","land cover"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T10:06:49.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ab10ea4a-1788-4d25-a6df-f1aff829dfff","10.5285/ab10ea4a-1788-4d25-a6df-f1aff829dfff","doi:10.5285/ab10ea4a-1788-4d25-a6df-f1aff829dfff"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 25m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Land Cover Map 2023 (25m rasterised land parcels, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","rafbar"]},{"authorAffiliation":["University of Oxford","University of Manchester","University of the West of England","Trees for Life"],"authorFamilyName":["Warner","Lewis","Hector","Brown","Green","Savory","Gilbert","McDonnell"],"authorFullName":["Warner, E.","Lewis, O.T.","Hector, A.","Brown, N.","Green, R.","Savory, A.","Gilbert, D.","McDonnell, A."],"authorGivenName":["E.","O.T.","A.","N.","R.","D."],"authorOrcid":["0000-0003-2236-9725","0000-0001-7935-6111","0000-0002-1309-7716","0000-0002-9955-7858","0000-0002-2147-9087"],"authorRor":["https://ror.org/052gg0110","https://ror.org/02nwg5t34"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Plant and carabid beetle survey data was collected in the summer of 2018 and bird survey data in the summer of 2019 in Glen Affric and Glen Moriston in the Scottish Highlands.  Data was collected using a 10 × 10 m plot in each reforestation site for plants and carabid beetles and a 50 m radius plot for birds. The same data was collected in a matched plot in an unforested, grazed area associated with each site and in a matched plot in an unforested area within the fenced site. Five pairs of plots were established in grazed and ungrazed mature Caledonian pineforest, the target of reforestation, to assess the value of the reforestation sites for biodiversity, relative to the unforested state and the target habitat.","documentType":"GEMINI_DOCUMENT","familyName":["Warner","Lewis","Hector","Brown","Green","Savory","Gilbert","McDonnell"],"fullName":["Warner, E.","Lewis, O.T.","Hector, A.","Brown, N.","Green, R.","Savory, A.","Gilbert, D.","McDonnell, A."],"givenName":["E.","O.T.","A.","N.","R.","D."],"identifier":"d31bcee5-736b-4aed-bda2-c11cacd5dfc7","incomingCitationCount":0,"keyword":["Glen Affric","Glen Moriston ","Biodiversity","carabid beetles","Caledonian pineforest"],"keywordsOther":["carabid beetles","Caledonian pineforest"],"keywordsPlace":["Glen Affric","Glen Moriston "],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The sampling design is hierarchical. Sites are the fourteen focal reforestation sites, all sites have associated unforested areas and three sites have associated mature forest. Plots (10 × 10 m for plants and carabids, 50 m radius for birds) were established in each treatment combination, bird surveys were conducted at a subset of ten of the fourteen reforestation sites.\n\nPlants were surveyed in each plot using three randomly placed 1 × 1 m quadrats in each plot, the percentage cover of each species was recorded using the DOMIN scale. Carabid beetles were surveyed using six pitfall traps were set per plot, with two traps associated with the location of each plant survey quadrat. Two bird surveys were conducted per plot during different date intervals. All surveys were conducted between 6:00 am and 11.30 am. Surveys were conducted for 15 minutes, after a two minute settling period. Birds were identified visually or by songs/calls.","locations":["POLYGON((-5.23 57.208, -5.23 57.287, -4.726 57.287, -4.726 57.208, -5.23 57.208))"],"metadataDate":"2026-09-15T08:46:06.000Z","orcid":["0000-0003-2236-9725","0000-0001-7935-6111","0000-0002-1309-7716","0000-0002-9955-7858","0000-0002-2147-9087"],"organisation":["University of Oxford","University of Manchester","University of the West of England","Trees for Life","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d31bcee5-736b-4aed-bda2-c11cacd5dfc7","10.5285/d31bcee5-736b-4aed-bda2-c11cacd5dfc7","doi:10.5285/d31bcee5-736b-4aed-bda2-c11cacd5dfc7"],"resourceType":"Dataset","rightsHolder":["University of Oxford","Trees for Life"],"ror":["https://ror.org/052gg0110","https://ror.org/02nwg5t34","https://ror.org/04xw4m193"],"shortenedDescription":"Plant and carabid beetle survey data was collected in the summer of 2018 and bird survey data in the summer of 2019 in Glen Affric and Glen Moriston in the Scottish Highlands.  Data was collected using a 10 × 10 m plot in each reforestation site for plants and carabid…","state":"published","temporalExtentText":"Data collected from 2018 to 2018; Data collected from 2018 to 2018; Data collected from 2019 to 2019; Data collected from 2019 to 2021","title":"Plant species cover and carabid beetle species counts, 2018, and bird species counts, 2019, in native reforestation, unforested and mature forest areas in the Scottish Highlands","topic":["0/Biodiversity/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marthews"],"authorFullName":["Marthews, T.R."],"authorGivenName":["Toby Richard"],"authorOrcid":["0000-0003-3727-6468"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["tar.gz"],"description":"This dataset contains remapped driving data for a rectangular domain covering Riau, Indonesia, for 2015-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for any LSM that allows NetCDF input files.\n","documentType":"GEMINI_DOCUMENT","familyName":["Marthews"],"fullName":["Marthews, T.R.","Toby Richard Marthews"],"funder":["Natural Environment Research Council"],"givenName":["Toby Richard"],"grant":["NE/X006247/1"],"identifier":"7a6b34b9-eb95-4926-889a-92adebe23d8d","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","climate","model","forecast"],"keywordsOther":["climate","model","forecast"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"The source data are from the ISIMIP project, specifically ISIMIP3b bias-adjusted climate input data (Inter-Sectoral Impact Model Intercomparison Project phase 3b (ISIMIP3b); info@isimip.org https://www.isimip.org ) (Gosling et al. 2025). For details of bias correction applied in ISIMIP datasets, please see https://www.isimip.org/gettingstarted/isimip3b-bias-correction/ .\n\nISIMIP data are available globally, but only at 0.5°x0.5°C global grid resolution (approx. 50 km resolution at the Equator), when most land surface modelling simulations require higher resolution. Therefore, using a bespoke (R) script written by Dr Toby Marthews, these data were regridded to 1 km resolution across the specified domain. In the interests of parsimony, no downscaling of these data was undertaken: this was a direct regridding process (a 'conservative remapping').\n\nBecause of file size limitations, carrying out this regridding step is often impossible at research institutions, therefore we provide these model-ready files in order to make these driving data more useful to a wider community.\n\n","locations":["POLYGON((99.9 -1.2, 99.9 3.5, 105.1 3.5, 105.1 -1.2, 99.9 -1.2))"],"metadataDate":"2026-07-25T06:55:58.000Z","orcid":["0000-0003-3727-6468"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7a6b34b9-eb95-4926-889a-92adebe23d8d","10.5285/7a6b34b9-eb95-4926-889a-92adebe23d8d","doi:10.5285/7a6b34b9-eb95-4926-889a-92adebe23d8d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains remapped driving data for a rectangular domain covering Riau, Indonesia, for 2015-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for…","state":"published","supplementalDescription":["Gosling, S.N., Schmied, H.M., Bradley, A., Burek, P., Gedney, N., Grillakis, M., Guillaumot, L., Hanasaki, N., Ito, A., Kou-Giesbrecht, S., Koutroulis, A., Nishina, K., Otta, K., Qi, W., Sahu, R.-K., Satoh, Y., Schewe, J., (2025) ISIMIP3b Simulation Data from the Global Water Sector (v1.4), ISIMIP Repository."],"temporalExtentText":"Data collected from 2015 to 2025","title":"Driving data for the period 2015-2025 for running the JULES Land Surface Model over Riau, Indonesia","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Lancaster University","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Chappell","Mindham","McShane","Beven"],"authorFullName":["Chappell, N.A.","Mindham, D.","McShane, G.","Beven, K.J."],"authorGivenName":["N.A.","D.","G.","K.J."],"authorOrcid":["0000-0001-6683-951X","0000-0002-9818-1465","0000-0001-7465-3934"],"authorRor":["https://ror.org/04f2nsd36","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are dynamic response characteristics (DRCs) produced by modelling the rainfall-runoff behaviour of a series of micro-basins installed by the NERC Q-NFM project largely in Cumbria (UK) and ranging in scale from 0.0071 to 2.7329 sq. km. Specifically, the rainfall to discharge response of these basins has been modelled with the RIV algorithm of the CAPTAIN Toolbox (Taylor et al., 2007 doi.org/10.1016/j.envsoft.2006.03.002). The resultant modelled characteristics of the rainfall-discharge dynamics are presented on an event-by-event basis.","documentType":"GEMINI_DOCUMENT","familyName":["Chappell","Mindham","McShane","Beven"],"fullName":["Chappell, N.A.","Mindham, D.","McShane, G.","Beven, K.J."],"funder":["Natural Environment Research Council","Environment Agency"],"givenName":["N.A.","D.","G.","K.J.","Nick A "],"grant":["NE/R004722/1"],"identifier":"ea641367-dc35-4695-97b8-63f7d6fa9105","incomingCitationCount":0,"keyword":["rain gauge","Cumbria","Hydrology","Q-NFM","C-NFM","flume","discharge","natural flood management","NFM","nature-based solution","NbS","flood","resilience","model","CAPTAIN toolbox","transfer function","hydrograph","storm","micro-basin","runoff","rainfall","atmospheric precipitation"],"keywordsInstrument":["rain gauge"],"keywordsOther":["Q-NFM","C-NFM","flume","discharge","natural flood management","NFM","nature-based solution","NbS","flood","resilience","model","CAPTAIN toolbox","transfer function","hydrograph","storm","micro-basin","runoff","rainfall","atmospheric precipitation"],"keywordsPlace":["Cumbria"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"Observed stream discharge data per unit micro-basin area (mm/15min) were modelled from observed rainfall data from a single raingauge within the micro-basin (mm/15min). \n\nThe simulated discharge time-series (mm/15min) was modelled using the RIVSID algorithms of the CAPTAIN Toolbox (https://wp.lancs.ac.uk/captaintoolbox) that represent dynamics in the form of Transfer Functions. RIVSID is an abbreviation of ‘Refined Instrumental Variable System Identification’ algorithms. These algorithms are available for optimal RIV estimation of multiple-input, discrete-time and hybrid continuous-time Transfer Function models. Details of how to use RIVSID within the Matlab programming environment are given at: https://eprints.lancs.ac.uk/id/eprint/86904/4/CAPTAIN_Getting_Started.pdf. The derived Transfer Function characteristics, sometimes called ‘Dynamic Response Characteristics’ or DRCs, of Time Constant, Steady State Gain and Pure Time Delay. The Time Constant is the transfer time of the propagating flood wave (i.e., celerities) through the catchment (Cheng et al. 2023. Water Resources Research, 59: e2022WR033625, https://doi.org/10.1029/2022WR033625). The Steady State Gain a rainfall-runoff system is simply the simulated runoff coefficient (Chappell et al., 2006. For. Ecol. Manage. 224, 58-80, https://doi.org/10.1016/j.foreco.2005.12.008). The Pure Time Delay in simple terms is the time between a rainfall input and the first discharge response (Chappell et al., 2012. IAHS Publication 353, IAHS Press. 82-93, http://iahs.info/redbooks/a353/iahs_353_0082.pdf). Full and complex explanation of the Transfer Function identification is given within Box, G.E.P, Jenkins, G.M. and Reinsel, G.C. 2008. Time Series Analysis. John Wiley and Sons, pp746.\n\nFor the specific application of RIVSID, each discharge hydrograph event was modelled separately. The characteristics of each simulated discharge hydrograph were then derived from the simulated stream discharge data per unit micro-basin area (mm/15min) also within the Matlab programming environment. \n\nFor fine technical details of how RIVSID was applied to the specific micro-basins, please see Mindham, D., Beven, K. and Chappell, N. 2023. Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response. Hydrology Research, 54(2): 233-244. https://doi.org/10.2166/nh.2023.115\n","locations":["POLYGON((-3.653 54.049, -3.653 55.154, -2.554 55.154, -2.554 54.049, -3.653 54.049))"],"metadataDate":"2026-07-25T14:51:51.000Z","orcid":["0000-0001-6683-951X","0000-0002-9818-1465","0000-0001-7465-3934"],"organisation":["Lancaster University","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ea641367-dc35-4695-97b8-63f7d6fa9105","10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105","doi:10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105"],"resourceType":"Dataset","rightsHolder":["Lancaster University"],"ror":["https://ror.org/04f2nsd36","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data are dynamic response characteristics (DRCs) produced by modelling the rainfall-runoff behaviour of a series of micro-basins installed by the NERC Q-NFM project largely in Cumbria (UK) and ranging in scale from 0.0071 to 2.7329 sq. km. Specifically, the rainfall…","state":"published","title":"Modelled dynamic response characteristics of selected micro-basins in the UK","topic":["0/Hydrology/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["University of the Highlands and Islands","University of Nottingham","National Oceanography Centre","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Fernandez-Garcia","Andersen","Schmidt","Gaffney","Gilbert","Large","Marshall","Mayor","Pickard","Williamson"],"authorFullName":["Fernandez-Garcia, P.","Andersen, R.","Schmidt, R.","Gaffney, P.P.J.","Gilbert, P.","Large, D.J.","Marshall, C.","Mayor, D.","Pickard, A.","Williamson, B."],"authorGivenName":["P.","R.","P.P.J.","P. ","D.J.","C.","D.","A.","B."],"authorOrcid":["0000-0002-7782-795X","0000-0002-5587-7622","0000-0003-2356-0951","0000-0003-0559-8526","0000-0003-2697-5394","0000-0002-1295-0041","0000-0003-1069-3720","0000-0002-7107-7713"],"authorRor":["https://ror.org/02s08xt61","https://ror.org/01ee9ar58","https://ror.org/00874hx02","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Location of peat cores and peat properties including moisture, bulk density, ash and organic matter content for short cores (50 cm) collected 10 month post-fire in high, medium and low severity areas within a drained and a near natural area in the footprint of a severe wildfire that impacted >6500 ha of blanket bog and wet heath in the Flow Country of Northern Scotland.","documentType":"GEMINI_DOCUMENT","familyName":["Fernandez-Garcia","Andersen","Schmidt","Gaffney","Gilbert","Large","Marshall","Mayor","Pickard","Williamson"],"fullName":["Fernandez-Garcia, P.","Andersen, R.","Schmidt, R.","Gaffney, P.P.J.","Gilbert, P.","Large, D.J.","Marshall, C.","Mayor, D.","Pickard, A.","Williamson, B."],"funder":["Natural Environment Research Council"],"givenName":["P.","R.","P.P.J.","P. ","D.J.","C.","D.","A.","B."],"grant":["NE/T006528/1"],"identifier":"31d3b90b-ca4d-41db-bf29-c9f7a426a0cc","incomingCitationCount":0,"keyword":["Scotland","wildfire","Flow Country","blanket bog","peatland","carbon","peat","fire","bulk density","bog"],"keywordsOther":["wildfire","Flow Country","blanket bog","peatland","carbon","peat","fire","bulk density","bog"],"keywordsPlace":["Scotland"],"licence":"Open government licence","lineage":"The 50 cm cores were collected using a Russian corer and the peat was analysed in sub-sections of 5 cm in the laboratory where they were weighed and dried to derive moisture and bulk density data and ashed to derive organic matter and ash content.\n\nAll the data were quality controlled by two separate individuals and a few values linked to analytical errors were removed from the dataset.","locations":["POLYGON((-4.194 58.325, -4.194 58.607, -3.654 58.607, -3.654 58.325, -4.194 58.325))"],"metadataDate":"2026-07-24T20:34:17.000Z","orcid":["0000-0002-7782-795X","0000-0002-5587-7622","0000-0003-2356-0951","0000-0003-0559-8526","0000-0003-2697-5394","0000-0002-1295-0041","0000-0003-1069-3720","0000-0002-7107-7713"],"organisation":["University of the Highlands and Islands","University of Nottingham","National Oceanography Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-12-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/31d3b90b-ca4d-41db-bf29-c9f7a426a0cc","10.5285/31d3b90b-ca4d-41db-bf29-c9f7a426a0cc","doi:10.5285/31d3b90b-ca4d-41db-bf29-c9f7a426a0cc"],"resourceType":"Dataset","rightsHolder":["University of the Highlands and Islands"],"ror":["https://ror.org/02s08xt61","https://ror.org/01ee9ar58","https://ror.org/00874hx02","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Location of peat cores and peat properties including moisture, bulk density, ash and organic matter content for short cores (50 cm) collected 10 month post-fire in high, medium and low severity areas within a drained and a near natural area in the footprint of a severe…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Peat properties from the Flow Country, Scotland, 2020, following wildfire in 2019","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Durham University"],"authorFamilyName":["Titley","Willis"],"authorFullName":["Titley, M.A.","Willis, S.G."],"authorGivenName":["M.A. ","S.G. "],"authorOrcid":["0000-0002-4170-0535","0000-0002-8656-5808"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset is derived from modelled changes to the distributions of >12,700 terrestrial mammal and bird species under four different climate scenarios, projected to 2070. It contains national-level projections of species richness change under each climate scenario, based on species' modelled climatic niches, as well as projected range shifts in relation to political borders globally.","documentType":"GEMINI_DOCUMENT","familyName":["Titley","Willis"],"fullName":["Titley, M.A.","Willis, S.G.","Titley, M."],"givenName":["M.A. ","S.G. ","Mark"],"identifier":"5bf972a8-c9a3-4721-8089-552dfe3ff124","incomingCitationCount":1,"keyword":["Biodiversity","Climate and climate change","species distribution models","political borders","biodiversity","climate change"],"keywordsOther":["species distribution models","political borders","biodiversity","climate change"],"keywordsTheme":["Biodiversity","Climate and climate change"],"licence":"Open government licence","lineage":"Data were generated using ensemble Species Distribution Models, trained on five climatic predictor variables and projected using future climate data from three general circulation models. Species distributions were modelled at a half-degree resolution. We followed best-practice guidelines for creating the models, and validated the projections using ten-fold cross validation with present climate data. These methods have been peer-reviewed and are widely used. Data were checked for errors before publication. See supporting documentation for more information.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T23:09:28.000Z","orcid":["0000-0002-4170-0535","0000-0002-8656-5808"],"organisation":["Durham University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-01-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5bf972a8-c9a3-4721-8089-552dfe3ff124","10.5285/5bf972a8-c9a3-4721-8089-552dfe3ff124","doi:10.5285/5bf972a8-c9a3-4721-8089-552dfe3ff124"],"resourceType":"Dataset","rightsHolder":["Durham University"],"ror":["https://ror.org/04xw4m193","https://ror.org/01v29qb04"],"shortenedDescription":"This dataset is derived from modelled changes to the distributions of >12,700 terrestrial mammal and bird species under four different climate scenarios, projected to 2070. It contains national-level projections of species richness change under each climate scenario,…","state":"published","temporalExtentText":"Data collected from 2018 to 2070","title":"Projected national-level climate change impacts on terrestrial mammals and birds, and projected global transboundary range shifts by 2070","topic":["0/Biodiversity/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bentley","Brentegani","Andrews","Brown","Cope","Ebuele","Emmett","Fitos","Friend","Garbutt","Gray","Hancock","Henrys","Higgins","Keenan","Keith","Lebron","Moscrop","O'Brien","Pallett","Pereira","Reinsch","Risser","Rowe","Scarlett","Smart","Tandy","Towill","Wagner","Wood","Robinson"],"authorFullName":["Bentley, L.","Brentegani, M.","Andrews, C.","Brown, K.","Cope, S.","Ebuele, V.","Emmett, B.A.","Fitos, E.","Friend, R.","Garbutt, R.A.","Gray, A.","Hancock, G.","Henrys, P.A.","Higgins, A.","Keenan, P.","Keith, A.M.","Lebron, I.","Moscrop, A.","O'Brien, L.","Pallett, D.W.","Pereira, M.G.","Reinsch, S.","Risser, H.","Rowe, R.L.","Scarlett, P.","Smart, S.M.","Tandy, S.","Towill, J.","Wagner, M.","Wood, C.M.","Robinson, D.A."],"authorGivenName":["L.","M.","C.","K.","S.","V.","B.A.","E.","R.","R.A.","A.","G.","P.A.","P.","A.M.","I.","D.W.","M.G.","H.","R.L.","S.M.","J.","C.M.","D.A."],"authorOrcid":["0000-0001-5055-7673","0000-0002-2713-4389","0000-0002-9145-9786","0000-0002-6785-0590","0000-0001-9619-1320","0000-0001-8610-9717","0000-0003-4649-0677","0000-0003-2750-7832","0000-0003-0662-0991","0000-0002-0394-2998","0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 150 x 1-km squares across Great Britain in 2023 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (soil organic carbon, SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration.\n\nThe UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability and through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bentley","Brentegani","Andrews","Brown","Cope","Ebuele","Emmett","Fitos","Friend","Garbutt","Gray","Hancock","Henrys","Higgins","Keenan","Keith","Lebron","Moscrop","O'Brien","Pallett","Pereira","Reinsch","Risser","Rowe","Scarlett","Smart","Tandy","Towill","Wagner","Wood","Robinson"],"fullName":["Bentley, L.","Brentegani, M.","Andrews, C.","Brown, K.","Cope, S.","Ebuele, V.","Emmett, B.A.","Fitos, E.","Friend, R.","Garbutt, R.A.","Gray, A.","Hancock, G.","Henrys, P.A.","Higgins, A.","Keenan, P.","Keith, A.M.","Lebron, I.","Moscrop, A.","O'Brien, L.","Pallett, D.W.","Pereira, M.G.","Reinsch, S.","Risser, H.","Rowe, R.L.","Scarlett, P.","Smart, S.M.","Tandy, S.","Towill, J.","Wagner, M.","Wood, C.M.","Robinson, D.A."],"funder":["Natural Environment Research Council"],"givenName":["L.","M.","C.","K.","S.","V.","B.A.","E.","R.","R.A.","A.","G.","P.A.","P.","A.M.","I.","D.W.","M.G.","H.","R.L.","S.M.","J.","C.M.","D.A.","L. "],"grant":["NE/R016429/1","NE/Y006208/1"],"identifier":"fe58d52e-f00c-4895-a35e-26b7353cc275","incomingCitationCount":0,"keyword":[" Great Britain"," UK-SCAPE","NC-UK","Soil","derived carbon concentration"," electrical conductivity"," Environmental survey"," fine earth volumetric water content"," Olsen-phosphorous","SOC"," soil bulk density of fine earth"," soil nitrogen"," soil organic matter"," soil pH"," total soil organic carbon"],"keywordsOther":["derived carbon concentration"," electrical conductivity"," Environmental survey"," fine earth volumetric water content"," Olsen-phosphorous","SOC"," soil bulk density of fine earth"," soil nitrogen"," soil organic matter"," soil pH"," total soil organic carbon"],"keywordsPlace":[" Great Britain"],"keywordsProject":[" UK-SCAPE","NC-UK"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Within each of 150 x 1km sample squares, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15 cm long, from a location co-incident with vegetation surveys. \n \nAfter collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis. \n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T18:11:55.000Z","orcid":["0000-0001-5055-7673","0000-0002-2713-4389","0000-0002-9145-9786","0000-0002-6785-0590","0000-0001-9619-1320","0000-0001-8610-9717","0000-0003-4649-0677","0000-0003-2750-7832","0000-0003-0662-0991","0000-0002-0394-2998","0000-0001-7290-4867"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fe58d52e-f00c-4895-a35e-26b7353cc275","10.5285/fe58d52e-f00c-4895-a35e-26b7353cc275","doi:10.5285/fe58d52e-f00c-4895-a35e-26b7353cc275"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 150 x 1-km squares across Great Britain in 2023 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2023","topic":["0/Soil/"],"version":1.0,"view":["public","simgil"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Griffin","Vesuviano","Cole"],"authorFullName":["Griffin, A.","Vesuviano, G.","Cole, S."],"authorGivenName":["A.","G.","S."],"authorOrcid":["0000-0001-8645-4561","0000-0003-2157-8875","0000-0003-4294-8687"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid"],"description":"This is a set of six ASCII grids describing the peak flood event for six return periods (2-100 years) at each point of the river network in the state of Kerala, India. Estimates were derived in a similar way to the Flood Estimation Handbook* approach.  The data is measured in cubic metres per second, and is given on an unprojected resolution of 15 arc-seconds per grid cell.\n\nThis work was supported by the Natural Environment Research Council as part of the LAWIS programme delivering National Capability.\n\n* (Flood Estimation Handbook. Centre for Ecology & Hydrology, 1999, ISBN: 9781906698003)","documentType":"GEMINI_DOCUMENT","familyName":["Griffin","Vesuviano","Cole"],"fullName":["Griffin, A.","Vesuviano, G.","Cole, S."],"funder":["Natural Environment Research Council"],"givenName":["A.","G.","S.","Adam"],"identifier":"cba9f9db-4706-4f1e-aaf4-fd7769e00db0","incomingCitationCount":0,"keyword":["Hydrology","Flood frequency","Land Air Water International Science","LAWIS","Peak daily river flow","lasso (least absolute shrinkage and selection operator)","HydroSHEDS","UN FAO Harmonised World Soil Database","lmomRFA","QMED","Kerala","India"],"keywordsOther":["Flood frequency","Land Air Water International Science","LAWIS","Peak daily river flow","lasso (least absolute shrinkage and selection operator)","HydroSHEDS","UN FAO Harmonised World Soil Database","lmomRFA","QMED","Kerala","India"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Hydrological flow records were used from the CWC to extract an annual maxima series from 2000-2020 across the state. Catchment descriptors from HydroSHEDS, UN FAO Harmonised World Soil Database, and IMD rainfall products were used to estimate the 2-year flood at ungauged sites. Top-kriging was used to interpolate this to over 300 sites covering the state. Then a regional GEV growth curve was fitted to get other return periods of peak flow.","locations":["POLYGON((74.9 8.31, 74.9 12.8, 77.37 12.8, 77.37 8.31, 74.9 8.31))"],"metadataDate":"2026-09-15T08:45:08.000Z","orcid":["0000-0001-8645-4561","0000-0003-2157-8875","0000-0003-4294-8687"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cba9f9db-4706-4f1e-aaf4-fd7769e00db0","10.5285/cba9f9db-4706-4f1e-aaf4-fd7769e00db0","doi:10.5285/cba9f9db-4706-4f1e-aaf4-fd7769e00db0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a set of six ASCII grids describing the peak flood event for six return periods (2-100 years) at each point of the river network in the state of Kerala, India. Estimates were derived in a similar way to the Flood Estimation Handbook* approach.  The data is measured…","state":"published","supplementalName":["UKCEH Flood Estimation Handbook"],"title":"Gridded flood frequency estimates for Kerala, India","topic":["0/Hydrology/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Institute of Terrestrial Ecology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0003-2750-7832","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (area) data for landscape features across Great Britain in 1990. Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 506 1km squares across Great Britain.\n\nThe Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"identifier":"94f664e5-10f2-4655-bfe6-44d745f5dca7","incomingCitationCount":1,"keyword":["Countryside Survey","Environmental survey","Land use","habitat","landscape"],"keywordsOther":["habitat","landscape"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey","Land use"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats from 506 1km squares were digitized in 2000. Data are managed by the Centre for Ecology & Hydrology, Lancaster.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T10:18:33.000Z","orcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0003-2750-7832","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","Institute of Terrestrial Ecology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-01-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/94f664e5-10f2-4655-bfe6-44d745f5dca7","10.5285/94f664e5-10f2-4655-bfe6-44d745f5dca7","doi:10.5285/94f664e5-10f2-4655-bfe6-44d745f5dca7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (area) data for landscape features across Great Britain in 1990. Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 506 1km squares across…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Landscape area data 1990 [Countryside Survey]","topic":["0/Environmental survey/","0/Land use/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Nottingham","British Geological Survey"],"authorFamilyName":["Izquierdo","Young","Bailey","Crout","Chenery","Shaw"],"authorFullName":["Izquierdo, M.","Young, S.","Bailey, E.","Crout, N.","Chenery, S.","Shaw, G."],"authorGivenName":["Maria","Scott","E.","Neil","S.","George"],"authorOrcid":["0000-0002-2283-7202","0000-0002-3371-7185","0000-0002-5266-3792","0000-0001-7394-5070","0000-0002-4096-0183"],"authorRor":["https://ror.org/01ee9ar58","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprise measurements of the 'soluble', 'chemically exchangeable' and 'isotopically exchangeable' U concentrations in a diverse set of soils following experimental addition of UO22+ and incubation in the laboratory under controlled temperature conditions for ca. 1.7 years.\n\nThe long term behaviour of U in aerobic soils was studied by conducting a laboratory-based experiment in which a set of twenty topsoils from central England with contrasting properties (e.g. pH, organic matter content, land use) were contaminated with a solution containing UO22+ in soluble form and incubated in the dark, in a moist but aerobic condition, at a temperature of 10 deg C for 619 days. The transformations of U in each soil microcosm were periodically monitored by means of soil extractions conducted on subsamples of incubated soils.\n\nThe resulting dataset enabled quantification of the kinetics of UO22+ transformations in aerobic soils and the relationships with soil properties and land uses (arable, grassland and moorland/woodland). The dataset will be useful in developing models of long-term U bioavailability in aerobic soils under temperate conditions. ","documentType":"GEMINI_DOCUMENT","familyName":["Izquierdo","Young","Bailey","Crout","Chenery","Shaw"],"fullName":["Izquierdo, M.","Young, S.","Bailey, E.","Crout, N.","Chenery, S.","Shaw, G."],"givenName":["Maria","Scott","E.","Neil","S.","George"],"identifier":"0d8b2aea-574c-4cff-a8bd-17115a0b90fc","incomingCitationCount":0,"keyword":["Chernobyl","Chornobyl","Soil","Radioecology","Incubation","Aerobic soils","uranium","aerobic process","soil"],"keywordsOther":["Incubation","Aerobic soils","uranium","aerobic process","soil"],"keywordsPlace":["Chernobyl","Chornobyl"],"keywordsTheme":["Soil","Radioecology"],"licence":"Open government licence","lineage":"At each sampling time, a portion of ca. 4g soil from each microcosm was equilibrated with 0.01 M KNO3 to quantify the soluble U. The chemically exchangeable and isotopically exchangeable fractions of U were determined by equilibrating another portion of ca. 2g soil with 1 M Mg(NO3)2 containing a known amount of the isotopic tracers 233UO22+ and 236UO22+. Soil extracts were analysed using a Thermo Fisher Scientific iCAP-Q ICP-MS. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:01:46.000Z","orcid":["0000-0002-2283-7202","0000-0002-3371-7185","0000-0002-5266-3792","0000-0001-7394-5070","0000-0002-4096-0183"],"organisation":["University of Nottingham","British Geological Survey","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-04-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d8b2aea-574c-4cff-a8bd-17115a0b90fc","10.5285/0d8b2aea-574c-4cff-a8bd-17115a0b90fc","doi:10.5285/0d8b2aea-574c-4cff-a8bd-17115a0b90fc"],"resourceType":"Dataset","ror":["https://ror.org/01ee9ar58","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise measurements of the 'soluble', 'chemically exchangeable' and 'isotopically exchangeable' U concentrations in a diverse set of soils following experimental addition of UO22+ and incubation in the laboratory under controlled temperature conditions for…","state":"published","temporalExtentText":"Data collected from 2014 to 2017","title":"Time series of uranium transformations in aerobic soils following experimental addition of uranyl ion","topic":["0/Soil/","0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Chornobyl Center for Nuclear Safety","The National Academy of Sciences of Ukraine","Chornobyl Radiation and Ecological Biosphere Reserve","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Gashchak","Paskevych","Gulyaichenko","Vishnevskyi","Barnett","Beresford"],"authorFullName":["Gashchak, S.","Paskevych, S.","Gulyaichenko, E.","Vishnevskyi, D.","Barnett, C.L.","Beresford, N.A."],"authorGivenName":["S.","E.","D.","C.L.","N.A."],"authorOrcid":["0000-0002-7582-6742","0000-0001-9723-7247","0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise a catalogue of motion activated digital trap camera images of Eurasian Lynx (Lynx lynx (L., 1758)) obtained from motion-activated digital trap cameras located within the Chornobyl Exclusion Zone, Ukraine (CEZ) over multiple years (2012-2018). Images of Eurasian lynx obtained from the cameras are included as part of the dataset.\n\nThe data were obtained from three research projects: \n (1) NatEnvPr - Studies conducted 2012–2018\n (2) TREE - Studies conducted 2014–2016 and\n (3) RED FIRE - Studies conducted 2016–2017\n\nThe cameras for all projects were setup with the aim to capture images of medium-large mammals; the studies were not designed to obtain quantitative assessments of abundance and density of Eurasian lynx across the CEZ. No bait was used during any of the studies.","documentType":"GEMINI_DOCUMENT","familyName":["Gashchak","Paskevych","Gulyaichenko","Vishnevskyi","Barnett","Beresford"],"fullName":["Gashchak, S.","Paskevych, S.","Gulyaichenko, E.","Vishnevskyi, D.","Barnett, C.L.","Beresford, N.A.","Barnett, C."],"givenName":["S.","E.","D.","C.L.","N.A.","Cath"],"identifier":"c099d04e-72e0-4ee9-ac72-11dc004ec1f6","incomingCitationCount":0,"keyword":["Chornobyl Exclusion Zone","Animal behaviour","Motion-activated camera","Trap camera","Image","Lynx","Chernobyl","CEZ","animal behaviour","wildlife","biological monitoring"],"keywordsOther":["Motion-activated camera","Trap camera","Image","Lynx","Chernobyl","CEZ","animal behaviour","wildlife","biological monitoring"],"keywordsPlace":["Chornobyl Exclusion Zone"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Most of the digital trap cameras used were Ltl Acorn 6210 MC; other models used were: Browning BTC5, Browning BTC-7FHD-PX, Bushnell 119437, Bushwhacker Big Eye D3, CCBetter, Covert Red40, Covert Red 40Ex, Ltl Acorn 5210A, Ltl Acorn 6210MG, ScoutGuard 880MK, ScoutGuard 882MK and Weltar 8210A. The available settings and capabilities of each camera were different.\n\nImages (and videos) of Lynx  and camera metadata were downloaded from each camera memory card by the Chornobyl Center for Nuclear Safety. Using this information the Lynx Image catalogue was populated by the Chornobyl Center for Nuclear Safety and supplied to UKCEH as an MSExcel file; a separate MSExcel file containing camera details and site descriptions etc. was also provided. The same person from the Chornobyl Center recorded all descriptive parameters. All images and videos were provided to UKCEH as .jpg; .mov; .avi and .mp4  files respectively.\n\nFor quality control purposes a member of UKCEH staff ensured images of the Eurasian lynx observed were provided (or where this was not possible this was noted in the image catalogue). Any queries regarding the image catalogue and site descriptions were also investigated.","locations":["POLYGON((30.709 49.475, 30.709 52.355, 37.213 52.355, 37.213 49.475, 30.709 49.475))"],"metadataDate":"2026-09-15T08:45:49.000Z","orcid":["0000-0002-7582-6742","0000-0001-9723-7247","0000-0002-8722-0238"],"organisation":["Chornobyl Center for Nuclear Safety","The National Academy of Sciences of Ukraine","Chornobyl Radiation and Ecological Biosphere Reserve","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c099d04e-72e0-4ee9-ac72-11dc004ec1f6","10.5285/c099d04e-72e0-4ee9-ac72-11dc004ec1f6","doi:10.5285/c099d04e-72e0-4ee9-ac72-11dc004ec1f6"],"resourceType":"Dataset","rightsHolder":["Chornobyl Center for Nuclear Safety"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise a catalogue of motion activated digital trap camera images of Eurasian Lynx (Lynx lynx (L., 1758)) obtained from motion-activated digital trap cameras located within the Chornobyl Exclusion Zone, Ukraine (CEZ) over multiple years (2012-2018). Images of…","state":"published","supplementalDescription":["Gashchak, S., Barnett, C.L., Beresford, N.A., Paskevych, S., Wood, M.D. 2022. Estimating the population density of Eurasian lynx in the Ukrainian part of the Chornobyl exclusion zone using camera trap footage. Theriologia Ukrainica. 23."],"supplementalName":["TREE website","REDFIRE webpage","CHAR webpage"],"temporalExtentText":"Data collected from 2012 to 2018","title":"Motion-activated camera trap images of Eurasian Lynx in the Ukrainian Chornobyl Exclusion Zone, 2012-2018","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Bass","Coleman","Waldron","Scott"],"authorFullName":["Bass, A.M.","Coleman, M.","Waldron, S.","Scott, M."],"authorGivenName":["A.M.","M.","S."],"authorOrcid":["0000-0003-3982-6582","0000-0002-2683-0761","0000-0002-3709-0623"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set covers high resolution (30-min frequency) water quality and dissolved carbon data from a peatland river in Southwest Scotland (5.8 km2), part of the Whitelee Wind Farm complex. The data set covers approx. 2.5 years including two full hydrological years and 261 individual flood events between 23/05/2012 and 16/12/2014. Carbon data was measured using a Scan Spectrolyser – a field deployable UV-Vis light spectrometer. ","documentType":"GEMINI_DOCUMENT","familyName":["Bass","Coleman","Waldron","Scott"],"fullName":["Bass, A.M.","Coleman, M.","Waldron, S.","Scott, M.","Bass, A."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","M.","S.","Adrian"],"identifier":"4c591c29-01c9-493b-806e-7253e2682376","incomingCitationCount":0,"keyword":["Hydrology","Water quality","Peatland ","Spectrolyser","UV-Vis","Hysteresis","Discharge event","Time-series","Hydrograph","River chemistry","Dissolved organic matter","organic matter","hydrography","flood","peat","dissolved organic carbon","particulate organic carbon"],"keywordsOther":["Peatland ","Spectrolyser","UV-Vis","Hysteresis","Discharge event","Time-series","Hydrograph","River chemistry","Dissolved organic matter","organic matter","hydrography","flood","peat","dissolved organic carbon","particulate organic carbon"],"keywordsTheme":["Hydrology","Water quality"],"licence":"Open government licence","lineage":"Data was initially collected as part of a NERC funded PhD project, and subsequently further analysed by Bass AM and co-authors for publication. Water quality sensors were calibrated against standard solutions for pH and conductivity. Dissolved organic carbon (DOC) data was calibrated against data analysed on a Thermolox(TM) TOC analyser. ","locations":["POLYGON((-4.328 55.658, -4.328 55.686, -4.282 55.686, -4.282 55.658, -4.328 55.658))"],"metadataDate":"2026-07-24T21:20:40.000Z","orcid":["0000-0003-3982-6582","0000-0002-2683-0761","0000-0002-3709-0623"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-08-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4c591c29-01c9-493b-806e-7253e2682376","10.5285/4c591c29-01c9-493b-806e-7253e2682376","doi:10.5285/4c591c29-01c9-493b-806e-7253e2682376"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"shortenedDescription":"This data set covers high resolution (30-min frequency) water quality and dissolved carbon data from a peatland river in Southwest Scotland (5.8 km2), part of the Whitelee Wind Farm complex. The data set covers approx. 2.5 years including two full hydrological years…","state":"published","temporalExtentText":"Data collected from 2012 to 2014","title":"Physico-chemical properties and discharge of a peatland river, Drumtree, Scotland, May 2012 to December 2014","topic":["0/Hydrology/","0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Swansea University","University of Oldenburg","University of Glasgow","Technische Universität Dresden","KU Leuven"],"authorFamilyName":["Ladd","Balke","Vovides","Christin-Wimmler","Schwarz"],"authorFullName":["Ladd, C.","Balke, T.","Vovides, A.","Christin-Wimmler, M.","Schwarz, C."],"authorGivenName":["Cai","Thorsten","Alejandra","Marie","Christian"],"authorOrcid":["0000-0001-5437-6474","0000-0001-7733-5069","0000-0002-3293-5770","0000-0002-4542-6764","0000-0003-3417-2575"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/00vtgdb53","https://ror.org/05f950310"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains acceleration data for seven 'Mini Buoys' (low-cost open-source bottom-mounted float sensors for measuring inundation duration, current velocity, and wave orbital velocity from acceleration data) and local water levels used in a pilot study to determine the effect of weight and tether length on the sensitivity of the B4+ Mini Buoy to detecting hydrodynamics.\n\nAdditional datasets provided are used for deriving near-bottom wave orbital velocities using two methods: linear wave theory and direct velocity measurements. Both methods were then used to compare calibrations between velocity and acceleration data gathered by low-cost and open-source bottom-mounted floats called 'Mini Buoys'. The dataset contains water velocity data gathered by Acoustic Doppler Velocimeters, and acceleration data gathered from the B4+ Mini Buoy design.\n\nFurthermore, a dataset is provided for Mini Buoy calibration, which uses the drag-tilt principle to infer hydrodynamics from acceleration data. The dataset contains acceleration data gathered from three 'Mini Buoy' designs ('B4', 'B4+', and 'Pendant'), alongside water level, current velocity, and wave orbital velocity measured from a range of commercially-available sensors, in order to build calibration curves for inferring hydrodynamics from acceleration data.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Balke","Vovides","Christin-Wimmler","Schwarz"],"fullName":["Ladd, C.","Balke, T.","Vovides, A.","Christin-Wimmler, M.","Schwarz, C.","Cai Ladd"],"funder":["Natural Environment Research Council"],"givenName":["Cai","Thorsten","Alejandra","Marie","Christian"],"grant":["NE/S008926/1"],"identifier":"bdd3b831-0f66-4593-a141-dee0784145e1","incomingCitationCount":0,"keyword":["Environmental survey","Modelling","Mini-buoy","Low-cost sensor","Calibration","Inundation duration","Current velocity","Wave orbital velocity","Acoustic Doppler Velocimeter","Linear wave theory","Representative bottom orbital velocity"],"keywordsOther":["Mini-buoy","Low-cost sensor","Calibration","Inundation duration","Current velocity","Wave orbital velocity","Acoustic Doppler Velocimeter","Linear wave theory","Representative bottom orbital velocity"],"keywordsTheme":["Environmental survey","Modelling"],"licence":"Open government licence","lineage":"Nine B4+ Mini Buoys, each sampling acceleration values along the y-axis at 1 Hz, were deployed adjacent to a water level (pressure) logger (In-Situ Rugged TROLL 100) on the tidal flat in front of Caerlaverock saltmarsh, Solway Firth, Scotland (54°58'05\"N, 3°31'58\"W) between the 15th and 24th of September 2020. Prior to deployment and after retrieving them, the loggers were inserted into a bucket of water for 1 minute to determine logger position in the tube. Each logger was fitted with different weights of ballast and different tether lengths. The pressure logger was set to sample at 1-minute intervals. Unfortunately, two loggers were lost during the deployment. Data to build a calibration between wave orbital velocity and acceleration was gathered at Caerlaverock, Scotland (54°58′05′′ N, 3°31′58′′ W) and Black Scar, Wales (51°45′54′′ N, 4°26′12′′ W). Data to build a calibration between hydrodynamics (inundation duration, current velocity, and wave orbital velocity) and acceleration was gathered at Percut Sei Tuan, Indonesia (3°43′22′′ N, 98°46′15′′ E), Caerlaverock, Scotland (54°58′05′′ N, 3°31′58′′ W), Black Scar, Wales (51°45′54′′ N, 4°26′12′′ W), and Skinflats, Scotland (56°03′22′′ N, 3°43′60′′ W) for three designs: the 'B4', 'B4+', and 'Pendant'.\n\nPlease refer to the metadata sheet for further details of data collection and processing.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T13:25:27.000Z","orcid":["0000-0001-5437-6474","0000-0001-7733-5069","0000-0002-3293-5770","0000-0002-4542-6764","0000-0003-3417-2575"],"organisation":["Swansea University","University of Oldenburg","University of Glasgow","Technische Universität Dresden","KU Leuven","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-05-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bdd3b831-0f66-4593-a141-dee0784145e1","10.5285/bdd3b831-0f66-4593-a141-dee0784145e1","doi:10.5285/bdd3b831-0f66-4593-a141-dee0784145e1"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/00vtgdb53","https://ror.org/05f950310","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains acceleration data for seven 'Mini Buoys' (low-cost open-source bottom-mounted float sensors for measuring inundation duration, current velocity, and wave orbital velocity from acceleration data) and local water levels used in a pilot study to determine…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Development and calibration data of the B4+ Mini Buoy design","topic":["0/Environmental survey/","0/Modelling/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Unaffiliated"],"authorFullName":["National Plant Monitoring Scheme "],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource provides plot-level plant occurrence data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2022.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\nPlease be aware that this dataset is updated annually and that more recent versions exist.\n\n","documentType":"GEMINI_DOCUMENT","fullName":["National Plant Monitoring Scheme "],"funder":["Natural Environment Research Council"],"grant":["NE/R016429/1 "],"identifier":"f7ef2dc5-2bce-4436-8f65-90f7a99acff2","incomingCitationCount":1,"keyword":["Environmental survey","National Plant Monitoring Scheme","NPMS","UK-SCAPE","plant community","habitat","environmental monitoring","vegetation"],"keywordsOther":["National Plant Monitoring Scheme","NPMS","UK-SCAPE","plant community","habitat","environmental monitoring","vegetation"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data are collected directly from volunteers into a custom Indicia database system through the National Plant Monitoring Scheme website or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-8.648 48.749, -8.648 60.861, 1.956 60.861, 1.956 48.749, -8.648 48.749))"],"metadataDate":"2026-09-02T14:10:36.000Z","organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2023-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7ef2dc5-2bce-4436-8f65-90f7a99acff2","10.5285/f7ef2dc5-2bce-4436-8f65-90f7a99acff2","doi:10.5285/f7ef2dc5-2bce-4436-8f65-90f7a99acff2"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193","https://ror.org/02b5d8509"],"shortenedDescription":"This data resource provides plot-level plant occurrence data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat…","state":"published","supplementalName":["Indicia database system","National Plant Monitoring Scheme website"],"temporalExtentText":"Data collected from 2015 to 2022","title":"National Plant Monitoring Scheme survey data (2015-2022)","topic":["0/Environmental survey/"],"version":1.0,"view":["public","margla"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?facet=recordType%7CDataset"}